From One-Size-Fits-All to AI-Driven Personalization in Education

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Authors: Fahad A. Salendab, Rashmia S. Baraguir, Rachel Anne S. Nuñez, Donald A. Cogo
Cited by: 2
References: 71

Abstract

The evolution from standardized instruction to AI-driven personalization reflects a growing demand for inclusive, flexible, and learner-centered education. Grounded in key concepts such as differentiation, individualization, and personalization, the discussion explores how AI technologies—adaptive learning platforms, real-time analytics, and intelligent tutoring systems—enable dynamic and tailored instruction that meets diverse learner needs. AI integration not only enhances engagement and equity but also supports meaningful curriculum redesign aligned with 21st-century competencies. Emphasizing innovative pedagogies and ethical implementation, the chapter highlights the strategic role of educators in guiding this transformation. The insights presented contribute to future-proofing curriculum design by aligning technological innovation with holistic student development and sustainable educational outcomes.

Fields of Study & Subjects

Intelligent Tutoring Systems and Adaptive Learning Online Learning and Analytics Artificial Intelligence in Education

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Publisher
IGI Global Scientific Publishing
Pages
197–222
Publication date
5 February 2026
Document type
Book chapter